{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/numerically-robust-methodology-for-fitting","title":"Numerically Robust Methodology for Fitting Current-Voltage Characteristics of Solar Devices with the Single-Diode Equivalent-Circuit Model","arxiv_id":"2206.13087","date":"2022-06-27","proceeding":null,"authors":["Mario Zinßer"],"abstract":"For experimental and simulated solar cells and modules discrete current-voltage data sets are measured. To evaluate the quality of the device, this data needs to be fitted, which is often achieved within the single-diode equivalent-circuit model. This work offers a numerically robust methodology, which also works for noisy data sets due to its generally formulated initial guess. A Levenberg-Marquardt algorithm is used afterwards to finalize the fitting parameters. The source code and an executable version of the methodology are published under https://github.com/Pixel-95/SolarCell_DiodeModel_Fitting on GitHub. This work explains the underlying methodology and basic functionality of the program.","url_abs":"https://arxiv.org/abs/2206.13087v2","url_pdf":"https://arxiv.org/pdf/2206.13087v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"numerically-robust-methodology-for-fitting","repo_url":"https://github.com/pixel-95/solarcell_diodemodel_fitting","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}